Marketing skills for Claude

Writes down once what every skill needs to know about your business (what you sell, who buys, competitors, positioning, customer language, goals) in .agents/product-marketing.md, then picks the skills for your goal in the order to use them.

Google rankings now: what the 2025-2026 updates rewarded and punished, keywords, content, briefs, quick wins, refreshes, comparison pages, rank tracking and Search Console.

• “We want an SEO plan or roadmap for the quarter. Where should our effort go?”
• “How do we read Search Console or Analytics? Why don't the numbers add up? Did we really lose impressions?”
• “How accurate are volumes, KD and traffic estimates? What is a position worth in clicks? Which keywords are worth it?”

Crawling, indexing, traffic drops and migrations, including the false drops that come from Google's own reporting changes.

• “Audit our site. What is broken? What do the crawl's flags mean and which matter?”
• “Why is this page not indexed? Crawled not indexed, canonicals, JavaScript, crawl budget, robots.txt”
• “Our traffic dropped. Was it a Google update? Impressions fell but clicks did not”

What gets a brand named and cited in ChatGPT, Claude, Gemini, Perplexity and Google's AI answers now, what tested as doing nothing, and how to measure it without fooling yourself.

• “Why does ChatGPT, Claude, Gemini or Perplexity cite who it cites? Which crawlers matter for which engine?”
• “Where do we stand? How do we track it? Is this change real or noise? What does it cost?”
• “How do we get named? Which sources matter? Lists, Reddit, YouTube, reviews, Wikipedia?”

Which backlinks still move rankings, where to find them, unlinked mentions, lost links, and the right contact at any site.

• “What do domain rank, DR, DA and spam score mean? Which sites clear the bar?”
• “Who should we ask for links? Sites linking to competitors, guest posts, lists that rank on Google, broken link building”
• “Who do we email at this site, and does the address work? What reply rate to expect?”

What journalists and podcast hosts say they want now, the stories that earn coverage, and who to pitch.

• “How do we write a pitch journalists answer? Length, timing, follow-ups, exclusives, AI drafts”
• “Which journalists should we pitch for this story? Who covered our competitor? Find their emails”
• “What story do we have? Data studies, reactive comment, newsjacking, launch press and embargoes”

What TikTok rewards now, account audits, hooks, trends, comments and why a video took off.

• “How does For You rank? What changed with the US owners? How does TikTok search work? Does TikTok Shop help reach?”
• “How long should videos be? How often to post? Carousels or video? Which sounds can a brand use?”
• “Is this engagement rate good? Is this video an outlier? Which benchmark applies? What do the fields mean?”

How Instagram ranks Reels and posts now, account audits, hooks, trends and comments.

• “What does Instagram reward now? Originality, Trial Reels, length, hashtags, captions, Your Algorithm, teen accounts?”
• “Is our engagement good? Reels or carousels? How often should we post?”
• “What do these Instagram numbers mean? Which call answers what, and what does it cost?”

What YouTube recommends now, channel audits, video ideas, comments, and YouTube as a source for AI answers.

• “How does YouTube recommend videos now? What changed with views, Shorts, monetisation, Test & Compare, the Partner Program?”
• “What do the tool fields mean? How do we judge a channel's health, an outlier, bought views? What can't the data see?”
• “Audit our channel or a competitor's; why did this one video take off?”

LinkedIn's feed now for people and company pages, formats, commenting, topic leaders and buyer posts.

• “How does the feed rank posts now? Why did our reach drop? Links, hashtags, timing, AI slop?”
• “What kind of posts work in our niche? Hooks, length, carousels, video, polls?”
• “Founder or company page? Audit our page or a competitor's. Newsletters and articles?”

Facebook pages and groups now, page audits, comments and group mining.

• “What changed in the feed? Reels, links, reposts, engagement bait, creator payouts?”
• “We want a Facebook plan for 90 days. Does Facebook fit our buyers? Who uses it?”
• “Audit our page or a competitor's. What works for them? What do their videos say?”

Google Maps and Business Profiles now: what moves the local pack, reviews, rank checks across a town, local competitors and local prospect lists.

• “Why does that competitor outrank us on Maps? What actually moves the local pack?”
• “Audit our Google Business Profile. Categories, hours, services, verification, a suspension, a service area business”
• “Where do we rank across town? A grid or heatmap, tracking it weekly”

Amazon search and listings now: keywords and real Amazon search volume, competitor listings, pricing and the Buy Box, and what Rufus changed.

• “How does Amazon rank products? What is A10, COSMO, Rufus or Alexa for Shopping?”
• “Which keywords should our listing target? How many people search for X on Amazon? Is there demand?”
• “Audit our listing: title, bullets, Item Highlights, backend terms, images, variations”

Google Shopping, product feeds and AI shopping answers: who wins a product search, price checks across stores, feed audits and product reviews.

• “Where do our products show? Who wins Google Shopping for our queries? How much is paid? What happened in Europe?”
• “Who sells our product cheaper? Are we undercut? Price competitiveness”
• “Audit our feed or listings. Which attributes matter? Structured data, GTINs, a ChatGPT feed”

App Store and Google Play search: store keywords, listings, competitor apps, reviews and top charts.

• “How does each store rank apps? What is indexed? What changed in 2025 and 2026?”
• “Which keywords should we target? Title, subtitle, keyword field, Play description wording”
• “Audit our listing. Screenshots, icon, conversion benchmarks, A/B tests”

Reddit without getting banned: communities, threads, pain points, and Reddit's changing place in Google and AI answers.

• “Which subreddits? Where do our buyers ask? How big and busy is each?”
• “Can I post my product there? Will I get banned? Karma, account age, AI rules, shadowbans, brand accounts”
• “Which threads to answer this week? How to write the reply? AMAs, launch posts”

Influencer, UGC and affiliate work across platforms: rates, fake-engagement signals, vetting, briefs, disclosure rules and brand fans.

• “Find creators or influencers in a niche, on one platform or across all three”
• “Is this creator real? Fake followers? Engagement? Where is the audience? Go or skip?”
• “What should we pay? Gifting, flat fee, affiliate, usage rights, Spark Ads, exclusivity”

Ad platforms after the 2025-2026 automation changes, competitors' ads in the ad libraries, keywords, brand bidding, ads in AI answers and creative briefs.

• “What can an ad library tell us? How do we read run length, reach, the EU data? What does it cost?”
• “What ads do our competitors run? A swipe file of the category's winning ads?”
• “What changed on Meta, Google, LinkedIn, TikTok? Advantage+, Andromeda, PMax, AI Max? Which platform first?”

Cold email that still lands under the 2024-2025 sender rules: lead lists, verification, buying signals, job changes, account research and first lines.

• “How do Manifold's leads tools behave? What does a reveal cost, what does `accept_all` mean, what is in a record? Personal data rules”
• “Will our email land? Domains, mailboxes, warm-up, volume, bounces, the Gmail and Microsoft rules. Clean or verify this list”
• “Build a lead list, find lookalike companies, enrich our CSV”

Pain points, objections, personas and positioning from what customers actually say.

• “Where do our buyers talk? Which source answers which question? What does each cost, and whose voice is it?”
• “What problems do buyers have? Rank our pain points, jobs to be done, what people struggle with”
• “What stops people buying? Is X worth it doubts, sales objections, what to put on the FAQ or pricing page”

Market size, market maps, demand checks and entering a new market, with the limits of each signal.

• “How big is the market? TAM, SAM, how many companies or buyers fit our ICP?”
• “Is there demand for X? Is it growing? Can we trust search volume, Trends or AI search volume?”
• “How do we prove people will pay? A fake door, smoke test, waitlist or preorder”

Who the competitors are, teardowns, monitoring, messaging, complaints and battlecards, and how far to trust traffic estimates.

• “Who are our real competitors? Who are we compared with? Who have we never heard of?”
• “How big is X, how much traffic does it get, how many people? Can we trust these numbers?”
• “Tear down one competitor: search, ads, social, AI, company, in one table”

Which channels to bet on now, growth and go-to-market plans, launches, content calendars, ideas and repurposing.

• “Which channels should we be on? Where is our audience? What changed in the channel mix?”
• “How do we grow? A growth or marketing plan for the next 90 days”
• “A go-to-market plan for a new product: ICP, positioning, motion, channels”

Brand mentions and awareness: share of search, what listening tools can and cannot see, and AI answers as an awareness surface.

• “Alert me when someone mentions us. What is new this week? How often should it run? What does it cost?”
• “Which platforms can we watch? Why is X or Facebook missing? What do listening tools really cover?”
• “How known are we against competitors? Which measures are weak? A 90-day awareness plan”

Client onboarding, pitches built on a prospect's real data, and client and weekly reports that hold up.

• “We are pitching a prospect: a quick audit to open the conversation or go with a cold email”
• “We need numbers and charts for a pitch deck or proposal”
• “We just signed a client: what do we track, what is the baseline, what are the first 90 days?”